Hyperspectral Data Compression

Giovanni Motta, Francesco Rizzo, James A. Storer (Herausgeber)

Buch | Hardcover

418 Seiten

2005 | 2006 ed.
Springer-Verlag New York Inc.
978-0-387-28579-5 (ISBN)

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Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery. Chapter 1 addresses compression architecture, and reviews and compares compression methods. Chapters 2 through 4 focus on lossless compression (where the decompressed image must be bit for bit identical to the original). Chapter 5, contributed by the editors, describes a lossless algorithm based on vector quantization with extensions to near lossless and possibly lossy compression for efficient browning and pure pixel classification. Chapter 6 deals with near lossless compression while. Chapter 7 considers lossy techniques constrained by almost perfect classification. Chapters 8 through 12 address lossy compression of hyperspectral imagery, where there is a tradeoff between compression achieved and the quality of the decompressed image. Chapter 13 examines artifacts that can arise from lossy compression.

James A. Storer is Chair of the IEEE Data Compression Conference.

An Architecture for the Compression of Hyperspectral Imagery.- Lossless Predictive Compression of Hyperspectral Images.- Lossless Hyperspectral Image Compression via Linear Prediction.- Lossless Compression of Ultraspectral Sounder Data.- Locally Optimal Partitioned Vector Quantization of Hyperspectral Data.- Near-Lossless Compression of Hyperspectral Imagery Through Crisp/Fuzzy Adaptive DPCM.- Joint Classification and Compression of Hyperspectral Images.- Predictive Coding of Hyperspectral Images.- Coding of Hyperspectral Imagery with Trellis-Coded Quantization.- Three-Dimensional Wavelet-Based Compression of Hyperspectral Images.- Spectral/Spatial Hyperspectral Image Compression.- Compression of Earth Science Data with JPEG2000.- Spectral Ringing Artifacts in Hyperspectral Image Data Compression.

Zusatzinfo	XII, 418 p.
Verlagsort	New York, NY
Sprache	englisch
Maße	156 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie
	Technik
ISBN-10	0-387-28579-2 / 0387285792
ISBN-13	978-0-387-28579-5 / 9780387285795
Zustand	Neuware